Inducing Patterns of Correlation and Substitution in Repeated Logit Models of Recreation Demand

By Joseph A. Herriges, Dan Phaneuf. 2002

134 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Marketing, Transportation

View Paper: https://www.semanticscholar.org/paper/edc09c0cafa46f4f0e7ed9f50692b08a4d70fd0b

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Citations in the corpus

State dependence and heterogeneity in fishing location choice (2005, background): “Several recent studies parameterize taste heterogeneity using a random-parameters structure but do not formally model state dependence [6,9,18,39].”
Valuing externalities from water supply: Status quo, choice complexity and individual random effects in panel kernel logit analysis of choice experiments (2007, methodology): “The richness and flexibility of mixed logit models has been shown to be able to generate a large variety of correlation patterns (Herriges & Phaneuf, 2002; Train, 2003).”
Valuing Water Quality as a Function of Water Quality Measures (2009, unknown): “…logit model was chosen because it exhibits many desirable properties, including that “...it allows for corner solutions, integrates the site selection and participation decisions in a utility consistent framework, and controls for the count nature of recreation demand” (Herriges and Phaneuf 2002).”
Incorporating Discontinuous Preferences into the Analysis of Discrete Choice Experiments (2008, background): “…and, ε is the Gumbel-distributed error.2 Note that this is analogous to the nested logit model in the sense that is allows for correlation of utilities across alternatives in the same nest, but different correlation across nests (Herriges and Phaneuf, 2002; Train, 2003; Scarpa et al. 2005).”
Modelling and mapping spatial heterogeneity in forest recreation services (2013, background): “(Herriges and Phaneuf, 2002) addressing some of the main criticisms of the standard conditional logit model.”
Valuing biodiversity enhancement in New Zealand's planted forests: Socioeconomic and spatial determinants of willingness-to-pay (2014, background): “This correlation structure can be accounted for by specifying a RPL model with additional errors that consider the difference in correlation across utilities (Herriges and Phaneuf, 2002).”